Guide to Scientific Computing in C++

Guide to Scientific Computing in C++

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This easy-to-read textbook/reference presents an essential guide to object-oriented C++ programming for scientific computing. With a practical focus on learning by example, the theory is supported by numerous exercises. Features: provides a specific focus on the application of C++ to scientific computing, including parallel computing using MPI; stresses the importance of a clear programming style to minimize the introduction of errors into code; presents a practical introduction to procedural programming in C++, covering variables, flow of control, input and output, pointers, functions, and reference variables; exhibits the efficacy of classes, highlighting the main features of object-orientation; examines more advanced C++ features, such as templates and exceptions; supplies useful tips and examples throughout the text, together with chapter-ending exercises, and code available to download from Springer.... char* argv[]) 6 { 7 8 std::cout 9 std::cin agt;agt; a; 10 //Run without assertion: assert(a agt;= 0.0); 11 std::cout alt;alt; aquot;The square root of ... J. Pitt-Francis, J. Whiteley, Guide to Scientific Computing in C++, 141 Undergraduate Topics in Computer Science, anbsp;...

Title:Guide to Scientific Computing in C++
Author:Joe Pitt-Francis, Jonathan Whiteley
Publisher:Springer Science & Business Media - 2012-02-15


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